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Training in progress epoch 13

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5422
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- - Train End Logits Accuracy: 0.8414
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- - Train Start Logits Accuracy: 0.8267
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- - Validation Loss: 0.1807
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- - Validation End Logits Accuracy: 0.9470
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- - Validation Start Logits Accuracy: 0.9470
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- - Epoch: 12
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  ## Model description
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@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
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  | 0.7062 | 0.8018 | 0.7843 | 0.2773 | 0.9194 | 0.9198 | 10 |
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  | 0.6182 | 0.8232 | 0.8043 | 0.2323 | 0.9343 | 0.9302 | 11 |
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  | 0.5422 | 0.8414 | 0.8267 | 0.1807 | 0.9470 | 0.9470 | 12 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4797
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+ - Train End Logits Accuracy: 0.8588
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+ - Train Start Logits Accuracy: 0.8443
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+ - Validation Loss: 0.1570
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+ - Validation End Logits Accuracy: 0.9530
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+ - Validation Start Logits Accuracy: 0.9515
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+ - Epoch: 13
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  ## Model description
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  | 0.7062 | 0.8018 | 0.7843 | 0.2773 | 0.9194 | 0.9198 | 10 |
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  | 0.6182 | 0.8232 | 0.8043 | 0.2323 | 0.9343 | 0.9302 | 11 |
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  | 0.5422 | 0.8414 | 0.8267 | 0.1807 | 0.9470 | 0.9470 | 12 |
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+ | 0.4797 | 0.8588 | 0.8443 | 0.1570 | 0.9530 | 0.9515 | 13 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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